Question

我有一个CSV文件：它包含类名称和代码气味的类型，并为每个类计算出代码气味的数量。最终计算结果位于最后一行，因此有许多重复的类名称。我只需要类名的最后一行。

这是我的CSV文件的一部分，因为它太长了：

NameOfClass,LazyClass,ComplexClass,LongParameterList,FeatureEnvy,LongMethod,BlobClass,MessageChain,RefusedBequest,SpaghettiCode,SpeculativeGenerality
com.nirhart.shortrain.MainActivity,NaN,NaN,NaN,NaN,NaN,NaN,1,NaN,NaN,NaN
com.nirhart.shortrain.path.PathParser,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathParser,NaN,1,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathParser,NaN,1,1,1,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathParser,NaN,1,2,1,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathParser,NaN,1,2,1,1,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathPoint,1,NaN,NaN,NaN,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathPoint,1,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.TrainPath,NaN,NaN,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.rail.RailActionActivity,NaN,NaN,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.rail.RailActionActivity,NaN,NaN,NaN,1,1,NaN,NaN,NaN,NaN,NaN

Answer 1

要仅获取唯一的类名（忽略重复的行，而不是删除），可以执行以下操作：

import csv

with open('my_file.csv', 'r') as csvfile:
    reader = csv.reader(csvfile)
    classNames = set(row[0] for row in reader)  
print(classNames)
# {'com.nirhart.shortrain.MainActivity', 'com.nirhart.shortrain.path.PathParser', 'com.nirhart.shortrain.path.PathPoint', ...}

这只是使用csv模块打开文件，获取每一行的第一个值，然后仅获取那些文件的唯一值。然后，您可以根据需要操纵结果字符串集（您可能希望通过list将其转换回list(classNames)。）

Answer 2

如果您打算以后处理大熊猫中的数据，则过滤重复项很简单：

import pandas as pd

df = pd.read_csv('file.csv')
df = df.loc[~df.NameOfClass.duplicated(keep='last')]

如果您只想用预期的行数构建一个新的csv文件，则pandas会显得过大，而csv模块就足够了：

import csv

with open('file.csv') as fdin, file('new_file.csv', 'w', newline='') as fdout:
    rd = csv.reader(fdin)
    wr = csv.writer(fdout)
    wr.writerow(next(rd))    # copy the header line
    old = None
    for row in rd:
        if old is not None and old[0] != row[0]:
            wr.writerow(old)
        old = row
    wr.writerow(old)

Answer 3

要过滤出NameOfClass组的最后一个条目，可以使用Python的groupby()函数返回具有相同NameOfClass的行的列表。然后可以将每个文件的最后一个条目写入文件。

from itertools import groupby
import csv

with open('data_in.csv', newline='') as f_input, open('data_out.csv', 'w', newline='') as f_output:
    csv_input = csv.reader(f_input)
    csv_output = csv.writer(f_output)

    for key, rows in groupby(csv_input, key=lambda x: x[0]):
        csv_output.writerow(list(rows)[-1])

对于您提供的数据，这将为您提供以下输出：

NameOfClass,LazyClass,ComplexClass,LongParameterList,FeatureEnvy,LongMethod,BlobClass,MessageChain,RefusedBequest,SpaghettiCode,SpeculativeGenerality
com.nirhart.shortrain.MainActivity,NaN,NaN,NaN,NaN,NaN,NaN,1,NaN,NaN,NaN
com.nirhart.shortrain.path.PathParser,NaN,1,2,1,1,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.PathPoint,1,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.path.TrainPath,NaN,NaN,NaN,1,NaN,NaN,NaN,NaN,NaN,NaN
com.nirhart.shortrain.rail.RailActionActivity,NaN,NaN,NaN,1,1,NaN,NaN,NaN,NaN,NaN

如何使用python从csv文件中删除行？

3 个答案: